局部均值分解和排列熵在行星齿轮箱故障诊断中的应用  

Application of local mean decomposition and permutation entropy in fault diagnosis of planetary gearboxes

作　　者：丁闯[1] 张兵志[1] 冯辅周[1] 江鹏程[1] 

机构地区：[1]装甲兵工程学院机械工程系,北京100072

出　　处：《振动与冲击》2017年第17期55-60,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金(51205407)

摘　　要：目前行星齿轮箱已经在军用和民用装备中广泛应用,研究行星齿轮箱的故障诊断方法意义重大。针对行星齿轮箱在运行时产生的非线性非平稳振动,且故障特征信号微弱等问题,提出一种结合局部均值分解和排列熵的行星齿轮箱故障诊断方法。利用局部均值分解方法将不同状态下的振动信号分解为多个乘积函数分量,针对包含有故障信息的分量进行排列熵计算,以此判断故障类型。最后通过采集行星齿轮箱故障模拟试验台三种状态(齿轮正常、太阳轮裂纹故障及行星轮裂纹故障)的振动信号,对其进行局部均值分解和排列熵计算,验证了此方法的有效性。Nowadays planetary gearboxes are widely used in military and civilian equipment,so studying fault diagnosis of planetary gearboxes is very significant. Aiming at the nonlinearity and nonstationarity of planetary gearboxes＇ vibrations,and the weakness of fault feature signals during their operation,a fault diagnosis method for planetary gearboxes was proposed based on the local mean decomposition（ LMD） and the permutation entropy. The vibration signals under different conditions were adaptively decomposed into several product functions（ PFs） with LMD. The corresponding permutation entropies of the PFs containing fault information were computed,they were used to identify fault types.Finally,three kinds of vibration signals for a planetary gearbox fault analog test platform were collected,they were the vibration signals in the gear normal state,those for the sun gear with a cracked tooth and those for the planet gear with a cracked tooth. These vibration signals were decomposed with LMD and the corresponding permutation entropies were computed,the effectiveness of the proposed method was verified.

关 键 词：行星齿轮箱 LMD 排列熵 故障诊断 

分 类 号：TH212[机械工程—机械制造及自动化] TH213